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2015 USFS Lidar: Colville National Forest
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      DateTime:  2023-02-22T14:18:57
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    identificationInfo:  (MD_DataIdentification)
        citation:  (CI_Citation)
            title:  2015 USFS Lidar: Colville National Forest
            alternateTitle:  2015_usfs_colville_m9755.xml
            date:  (CI_Date)
                date:  2023-02-22
                dateType:  (CI_DateTypeCode) creation
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                    title:  NOAA/NMFS/EDM
                    date: (inapplicable)
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                  Anchor:  InPort Catalog ID 69336
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                contactInfo:  (CI_Contact)
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                        linkage: https://www.fisheries.noaa.gov/inport/item/69336
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                        description:  View the complete metadata record on InPort for more information about this dataset.
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                        linkage: https://coast.noaa.gov/dataviewer/
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                        name:  NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV)
                        description:  The Data Access Viewer (DAV) allows a user to search for and download elevation, imagery, and land cover data for the coastal U.S. and its territories. The data, hosted by the NOAA Office for Coastal Management, can be customized and requested for free download through a checkout interface. An email provides a link to the customized data, while the original data set is available through a link within the viewer.
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                        linkage: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9755/supplemental/15137_SurveyReport.pdf
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                        linkage: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9755/supplemental/15137_AerialLidarReport.pdf
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        abstract:  This data set is consisting of a classified LiDAR Point Cloud encompassing the Colville National Forest project area, approximately 742 square miles. Each LAS/LAZ file contains LiDAR point information, which has been calibrated, controlled, and classified. Ground Conditions: water at normal levels; no unusual inundation; no snow; leaf off How the Withheld Points are Identified: Withheld (ignore) points were identified in the files using the standard LAS Withheld bit. Class Code:1 Class Item:Undetermined/Unclassified Class Code:2 Class Item:Bare Earth This data set is an LAZ (compressed LAS) format file containing LIDAR point cloud data.
        purpose:  The United States Forest Service (USFS, Government), Colville National Forest (CNF), requested airborne LiDAR services and products for several project areas totalling 742 mi2 throughout the Colville National Forest in NE Washington. The primary goals of this project included providing high accuracy and density (8pls/m2) LiDAR to enhance project planning and implementation, and to provide engineering and timber sale preparation specialists more information for on-the-ground project planning. In addition, these data are used by researchers and scientists to characterize vegetation type and structure as it currently exists on the landscape and to provide a detailed, accurate, and precise benchmark for future change detection work. The data products potentially will also be used for vegetation mapping, hydrologic feature delineation, and landcover characterization applications including a canopy height model, understory vegetation prediction, and other stand metrics.
        credit:  Mark Riley United States Forest Service State NFIP Coordinator (503) 808-2989 markriley@fs.fed.us; Atlantic The custom download may be cited as National Oceanic and Atmospheric Administration (NOAA) Digital Coast Data Access Viewer. Charleston, SC: NOAA Office for Coastal Management. Accessed Aug 01, 2023 at https://coast.noaa.gov/dataviewer.
        status:  (MD_ProgressCode) completed
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                    voice:  (843) 740-1202
                address:  (CI_Address)
                    deliveryPoint:  2234 South Hobson Ave
                    city:  Charleston
                    administrativeArea:  SC
                    postalCode:  29405-2413
                    country: (missing)
                    electronicMailAddress:  coastal.info@noaa.gov
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                    administrativeArea:  SC
                    postalCode:  29405-2413
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                    electronicMailAddress:  coastal.info@noaa.gov
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        descriptiveKeywords:  (MD_Keywords)
            keyword:  EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION
            keyword:  EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION
            type:  (MD_KeywordTypeCode) theme
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                title:  Global Change Master Directory (GCMD) Science Keywords
                date: (missing)
                edition:  12.3
        descriptiveKeywords:  (MD_Keywords)
            keyword:  CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA
            keyword:  CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > WASHINGTON
            keyword:  VERTICAL LOCATION > LAND SURFACE
            type:  (MD_KeywordTypeCode) place
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                title:  Global Change Master Directory (GCMD) Location Keywords
                date: (missing)
                edition:  12.3
        descriptiveKeywords:  (MD_Keywords)
            keyword:  LIDAR > Light Detection and Ranging
            type:  (MD_KeywordTypeCode) instrument
            thesaurusName:  (CI_Citation)
                title:  Global Change Master Directory (GCMD) Instrument Keywords
                date: (missing)
                edition:  14.9
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            keyword:  Airplane > Airplane
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                date: (missing)
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        descriptiveKeywords:  (MD_Keywords)
            keyword:  Colville
            type:  (MD_KeywordTypeCode) place
        descriptiveKeywords:  (MD_Keywords)
            keyword:  Lidar - partner (no harvest)
            type:  (MD_KeywordTypeCode) project
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                title:  InPort
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            otherConstraints:  Cite As: OCM Partners, [Date of Access]: 2015 USFS Lidar: Colville National Forest [Data Date Range], https://www.fisheries.noaa.gov/inport/item/69336.
        resourceConstraints:  (MD_Constraints)
            useLimitation:  NOAA provides no warranty, nor accepts any liability occurring from any incomplete, incorrect, or misleading data, or from any incorrect, incomplete, or misleading use of the data. It is the responsibility of the user to determine whether or not the data is suitable for the intended purpose.
        resourceConstraints:  (MD_LegalConstraints)
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            otherConstraints:  Access Constraints: None | Use Constraints: Users should be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions. Users should not use this data for critical applications without a full awareness of its limitations. | Distribution Liability: *** The data represented is the result of data collection and processing per contract specifications and indicates the general existing conditions at the time of data collection. As such, it is only valid for its intended use, content, time, and accuracy specifications. The user is responsible for the results of any application of the data for other than its intended purpose. Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners
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            classificationSystem: (missing)
            handlingDescription: (missing)
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                            linkage: https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocmp/dmp/pdf/69336.pdf
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                            description:  NOAA Data Management Plan for this record on InPort.
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            associationType:  (DS_AssociationTypeCode) crossReference
        spatialRepresentationType:  (MD_SpatialRepresentationTypeCode) vector
        language:  eng; US
        topicCategory:  (MD_TopicCategoryCode) elevation
        environmentDescription:  CloudPro 1.2.0 Build 85620; GeoCue Version 2014.1.21.2; Windows 7 Operating System \\tagwork38\GC_Warehouse_8\80670\46\*.las 1.04 TB
        extent:  (EX_Extent)
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                westBoundLongitude:  -118.51279
                eastBoundLongitude:  -117.278985
                southBoundLatitude:  48.19707
                northBoundLatitude:  49.019502
            temporalElement:  (EX_TemporalExtent)
                extent:
                  TimePeriod:
                    description:   | Currentness: Ground Condition
                    beginPosition:  2015-07-08
                    endPosition:  2015-07-25
        supplementalInformation:  All Lidar data was acquired, calibrated, and used in the creation of Lidar derived products by Atlantic. The following are the USGS lidar fields in JSON: { "ldrinfo" : { "ldrspec" : "USFS ", "ldrsens" : "Leica ALS70-HP ", "ldrmaxnr" : "Unlimited ", "ldrnps" : "0.35 ", "ldrdens" : "8.0 ", "ldranps" : "0.2425 ", "ldradens" : "18.3 ", "ldrfltht" : "2926 ", "ldrfltsp" : "110 ", "ldrscana" : "34 ", "ldrscanr" : "38 ", "ldrpulsr" : "209 ", "ldrpulsd" : "4 ", "ldrpulsw" : "0.46 ", "ldrwavel" : "1064 ", "ldrmpia" : "0 ", "ldrbmdiv" : "0.15 ", "ldrswatw" : "924 ", "ldrswato" : "50 ", "ldrgeoid" : "National Geodetic Survey (NGS) Geoid12A " }, "ldraccur" : { "ldrchacc" : "0.196 ", "rawnva" : "0.160 ", "rawnvan" : "60 ", "clsnva" : "0.158 ", "clsnvan" : "60 ", "clsvva" : "0.142 ", "clsvvan" : "56 " }, "lasinfo" : { "lasver" : "1.4 ", "lasprf" : "6 ", "laswheld" : "Withheld (ignore) points were identified in the files using the standard LAS Withheld bit. ", "lasolap" : "Swath 'overage' points were identified in these files using the standard LAS overlap bit. ", "lasintr" : "16 ", "lasclass" : { "clascode" : "1", "clasitem" : "Undetermined/Unclassified" }, "lasclass" : { "clascode" : "2", "clasitem" : "Bare earth" } }}
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    contentInfo:  (MD_FeatureCatalogueDescription)
        complianceCode:  false
        language:
          LanguageCode:  eng
        includedWithDataset:  false
        featureCatalogueCitation:  (CI_Citation)
            title:  Tiled LiDAR point Cloud for Colville NF
            date: (unavailable)
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            name:  Zip
            version: (missing)
            fileDecompressionTechnique:  Zip
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            name:  LAZ
            version: (missing)
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                        city:  Charleston
                        administrativeArea:  SC
                        postalCode:  29405-2413
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                linkage: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9755/details/9755
                protocol:  WWW:LINK-1.0-http--link
                name:  Customized Download
                description:  Create custom data files by choosing data area, product type, map projection, file format, datum, etc. A new metadata will be produced to reflect your request using this record as a base. Change to an orthometric vertical datum is one of the many options.
                function:  (CI_OnLineFunctionCode) download
        transferOptions:  (MD_DigitalTransferOptions)
            onLine:  (CI_OnlineResource)
                linkage: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9755/index.html
                protocol:  WWW:LINK-1.0-http--link
                name:  Bulk Download
                description:  Bulk download of data files in LAZ format, geographic coordinates, orthometric heights. Note that the vertical datum (hence elevations) of the files here are different than described in this document. They will be in an orthometric datum.
                function:  (CI_OnLineFunctionCode) download
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    dataQualityInfo:  (DQ_DataQuality)
        scope:  (DQ_Scope)
            level:  (MD_ScopeCode) dataset
        report:  (DQ_AbsoluteExternalPositionalAccuracy)
            nameOfMeasure:  Horizontal Positional Accuracy
            evaluationMethodDescription:  Horizontal error in lidar derived elevation data is largely a function of positional error as derived from the Global Navigation Satellite System (GNSS), attitude (angular orientation) error (as derived from the INS) and flying altitude; and can be estimated based on these parameters. Quantitative value: 14.4 cm, Test that produced the valued: As described in Section 7.5 of the ASPRS Positional Accuracy Standards for Digital Geospatial Data the horizontal errors in lidar data are largely a function of GNSS positional error, INS angular error, and flying altitude. Therefore lidar data collected with GNSS error of 0.05m and the IMU error of 0.03492 degrees at an altitude of 2926m; the expected radial horizontal positional error will be RMSEr = 14.4cm.
            result: (missing)
        report:  (DQ_AbsoluteExternalPositionalAccuracy)
            nameOfMeasure:  Vertical Positional Accuracy
            evaluationMethodDescription:  Vertical Accuracy of the point cloud and bare-earth lidar data was assessed and reported in accordance with the ASPRS Positional Accuracy Standards for Digital Geospatial Data; One-Hundered and sixteen (116) surveyed points were measured for the purpose of assessing the accuracy of the Colville NF Lidar data. (60 NVA + 56 VVA)Quantitative value: 15.8 cm, Test that produced the value: This data set was produced to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 10.0(cm) RMSEz Vertical Accuracy Class equating to NVA = +/-19.6cm at 95% confidence level and VVA =+/-29.4cm at the 95th percentile. This data set was tested to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 10.0(cm) RMSEz Vertical Accuracy Class. Actual NVA accuracy of the point cloud was found to be RMSEz = 4.1cm, equating to +/-8.1cm at 95% confidence level. Actual NVA accuracy of the bare-earth was found to be RMSEz = 4.1cm, equating to +/-8.0cm at 95% confidence level. Actual VVA accuracy was found to be +/-14.3cm at the 95th percentile.
            result: (missing)
        report:  (DQ_CompletenessCommission)
            nameOfMeasure:  Completeness Report
            evaluationMethodDescription:  The raw LAS data files included all data points collected. No points have been removed or excluded. A visual qualitative assessment was performed to ensure data completeness. No void areas or missing data exist. The raw point cloud is of good quality and data passes Fundamental Vertical Accuracy specifications.Void areas (i.e., areas outside the project boundary but within the tiling scheme) are coded using a unique “NODATA” value. This value is identified in the appropriate location within the file header.
            result: (missing)
        report:  (DQ_ConceptualConsistency)
            nameOfMeasure:  Conceptual Consistency
            evaluationMethodDescription:  All LiDAR data and LiDAR Derived data covers the entire 742 square mile area. All LiDAR Point Cloud tiles show no edge artifacts or mismatches from tile to tile. Void areas (i.e. areas outside the project boundary but within the tiling scheme) are coded using a unique “NODATA” value. This value is identified in the appropriate location within the file header. Data cover the entire area specified for this project.
            result: (missing)
        lineage:  (LI_Lineage)
            statement: (missing)
            processStep:  (LI_ProcessStep)
                description:  Aerial LiDAR Acquisition: Aerial LiDAR was acquired, in sixteen (16) missions, using an ALS070HP SN7225 at an altitude of 2926 MSL to support a 8ppm^2 LiDAR point cloud. Airborne GPS and IMU data was collected during the acquisition and supported by LEICA SR530 GPS stations on NGS monuments K24, G483, and Z264. Data acquisition was completed between 8th of July through 25th of July 2015. Ground Control Survey: A survey was performed to support the acquisition of LiDAR collection. Ground GPS collection consists of collection NVA and VVA points for LiDAR validation in addition to control point GPS collection for flight support. All field survey observations were conducted between July 5, 2015 through July 25, 2015 using Leica SR530 and Topcon HiperV Dual Frequency GPS equipment, both configured to log data at 1 Hz, and at 10 degrees mask.
                dateTime:
                  DateTime:  2015-07-25T00:00:00
            processStep:  (LI_ProcessStep)
                description:  LiDAR Pre-processing: Airborne GPS and IMU data were merged to develop a Smoothed Best Estimate Trajectory (SBET) of the LiDAR system trajectory for each lift. LiDAR ranging data were initially calibrated using previous best parameters for this instrument and aircraft. Relative calibration was evaluated using advanced plane-matching analysis and parameter corrections derived. This process was repeated interactively until residual errors between overlapping swaths, across all project lifts, was reduced to 2 cm or less. Data were then block adjusted to match surveyed calibration control. Raw data NVA were checked using independently surveyed check points. Swath overage points were identified and tagged within each swath file
                dateTime:
                  DateTime:  2015-07-31T00:00:00
            processStep:  (LI_ProcessStep)
                description:  Initial processing of the GPS data was processed using Inertial Explorer. The solution file was generated and CloudPro software was used to generate georeferenced laser returns which were then processed in strip form allowing for the QC of the overlap between strips (lines). The data from each line were combined and automated classification routines run to determine the initial surface model. This initial surface model was then verified to the surveyed test points.
                dateTime:
                  DateTime:  2015-08-11T00:00:00
            processStep:  (LI_ProcessStep)
                description:  LiDAR Post-Processing: The calibrated and controlled LiDAR swaths were processed using automatic point classification routines in TerraSolid software. These routines operate against the entire collection (all swaths, all lifts), eliminating character differences between files. Data were then distributed as virtual tiles to experienced LiDAR analysts for localized automatic classification, manual editing, and peer-based QC checks. Supervisory QC monitoring of work in progress and completed editing ensured consistency of classification character and adherence to project requirements across the entire project. All classification tags are stored in the original swath files. After completion of classification and final QC approval, the NVA and VVA for the project are calculated. Sample areas for each land cover type present in the project were extracted and forwarded to the client, along with the results of the accuracy tests. Upon acceptance, the complete classified LiDAR swath files were delivered to the client.
                dateTime:
                  DateTime:  2015-08-16T00:00:00
            processStep:  (LI_ProcessStep)
                description:  LiDAR Classification: The calibrated LiDAR data was run through automated classification routines and then manually checked and edited. The data was classified into the following classes: Class Code:1 Class Item:Undetermined/Unclassified Class Code:2 Class Item:Bare EarthNoise
                dateTime:
                  DateTime:  2015-08-23T00:00:00
            processStep:  (LI_ProcessStep)
                description:  Classified point cloud data was received from USFS in LAZ format. The projection was the USFS region 6 Albers (EPSG code 9674) in meters on NAD83(2011) datum. Vertically the data was in meters NAVD88 with Geoid12A. The data was converted to geographic coordinates and the geoid model was removed, effectively reverting the data to EPSG 6319, for ingest in the Digital Coast Data Access Viewer.
                dateTime:
                  DateTime:  2023-02-15T00:00:00
                processor:  (CI_ResponsibleParty)
                    organisationName:  NOAA Office for Coastal Management
                    contactInfo:  (CI_Contact)
                        phone:  (CI_Telephone)
                            voice:  (843) 740-1202
                        address:  (CI_Address)
                            electronicMailAddress:  coastal.info@noaa.gov
                    role:  (CI_RoleCode) processor
            source:  (LI_Source)
                sourceCitation:  (CI_Citation)
                    title:  Classified lidar data
                    date: (missing)
                    citedResponsibleParty:  (CI_ResponsibleParty)
                        organisationName:  US Forest Service
                        role:  (CI_RoleCode) originator
            processStep:  (LI_ProcessStep)
                description:   The vertical values in this data set have been converted to reference North American Vertical Datum of 1988 (NAVD88) (GEOID18) meters, using the GEOID18 grids provided by the National Geodetic Survey. Any datum and projection transformations were then done with the Office for Coastal Management 'datum_shift' program. Compression to an LAZ file was done with the LAStools 'laszip' program and can be unzipped with the same free program (laszip.org) Processing notes:
                dateTime:
                  DateTime:  2023-08-01T07:42:10
                processor:  (CI_ResponsibleParty)
                    individualName:  NOAA Office for Coastal Management
                    contactInfo:  (CI_Contact)
                        address:  (CI_Address)
                            electronicMailAddress:  coastal.info@noaa.gov
                    role:  (CI_RoleCode) processor